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Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world's largest enterprises to the most ambitious startups, use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Testability has long been a priority for Stripe. Before users trust code with their money, they need to verify that it's safe and correct. This need drove Stripe to build test mode and, more recently, Sandboxes, which enables safe, isolated, and scalable testing. As businesses build with AI and agents, their testing needs are evolving. Stripe customers use claimable sandboxes to add Stripe capabilities to prototypes before business registration. Once onboarded, they provision isolated test environments to support agents' exploration. These capabilities help developers and agents build and test their integrations with Stripe. The Sandboxes team defines, builds, and operates these testing capabilities. We work across Stripe to make our products testable, helping businesses develop with confidence and shaping the future of Stripe's developer platform. What you'll do You'll lead and grow the Sandboxes engineering team, setting technical direction and operating critical systems. You'll build a culture of operational excellence and thoughtful product development. You'll work directly with users to understand their needs and partner with Product, Design, and Data Science to shape and deliver the team's strategy. The role combines building reusable testing capabilities across Stripe with attention to the details that make developer tools effective and easy to use. Responsibilities Lead engineering planning and execution, partnering with Design to build clear, useful testing experiences. Shape the team's strategy and roadmap, aligning partners across Product, Design, Infrastructure, Marketing, and Operations. Own delivery from problem definition through rollout and ongoing operation, improving both system performance and the user experience. Uphold high engineering standards across the team's codebases and development practices. Partner with Recruiting to hire engineers and build a diverse, high-performing team. Coach and mentor engineers, provide candid feedback, and support career development tailored to their goals. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, we encourage you to apply. Minimum requirements 4+ years of engineering management experience, directly managing and growing teams of 5+ engineers building and shipping products at scale. 8+ years of full-time software development experience. Experience building reusable, extensible software that supports a range of user needs, with strong user empathy and a commitment to high-quality user experiences. Strong problem-solving skills, with a track record of finding practical solutions to complex challenges. Experience turning ambiguous goals into clear priorities and delivering multiple high-impact workstreams. A track record of building a supportive environment with candid feedback and high expectations. Technical depth to guide architecture and product design discussions and help engineers make informed tradeoffs. Experience taking ownership of initiatives and moving work forward independently. Preferred qualifications Strong product and design judgment, including the ability to simplify complex user experiences. Experience making decisions and building strong working relationships across teams. Experience building and leading a distributed team across multiple locations and time zones. Experience building developer tools or platform capabilities. Experience building testing tools or capabilities that help users test within a product. Experience building AI agent systems or tools that support agent-driven development.

Vous cherchez un environnement professionnel stimulant basé sur l'autonomie et la confiance ? Pennylane vous offre l'opportunité de grandir au sein d'une entreprise en pleine croissance. Ici, votre expertise contribuera directement à aider les entrepreneurs à reprendre le contrôle de leurs finances. Découvrez un lieu où vos compétences seront valorisées et où vous pourrez façonner l'avenir de la gestion financière. Notre vision Notre ambition est de devenir le logiciel de pilotage financier préféré des PMEs européennes. Nous aidons les entrepreneurs à se débarrasser des tâches chronophages liées à la comptabilité et à la finance, tout en leur donnant accès à des informations financières clés pour les aider à prendre les meilleures décisions pour leur entreprise. Parallèlement, nous aidons les cabinets d'expertise-comptable, en leur permettant de passer moins de temps sur des tâches redondantes et répétitives, et plus de temps sur la partie conseil et accompagnement de leurs clients. À propos de Pennylane Pennylane est une des FinTech à la plus forte croissance en France, et souhaite bientôt adresser le marché européen. En 5 ans d'existence, nous sommes parvenus à : 💻 Nous positionner sur le marché comme un éditeur de solution de comptabilité et de gestion financière innovant 💰 Lever un total de 400 millions d'euros, auprès d'investisseurs de renom, dont Sequoïa, le fonds phare de la Silicon Valley, connu pour avoir soutenu Google, Facebook, Airbnb, Stripe, Paypal et bien d'autres à leur début 👨‍👩‍👧‍👦 Passer de 7 cofondateurs à une équipe de 1000 collaborateurs, avec une note moyenne de 4,9/5 sur Glassdoor et 94% des évaluateurs Glassdoor qui recommanderaient PL à leurs proches! 🌍 Construire une équipe internationale composée de collaborateurs issus de 25 pays différents, avec une culture du télétravail très flexible 🤝 Gagner la confiance de milliers d'utilisateurs et obtenir d'excellents retours 🚀 Déjà plus de 900,000 TPE/PME et plus de 6000 cabinets d'expertise-comptable utilisent Pennylane en France ! Pourquoi ce rôle est-il si important chez nous ? En tant que Spécialiste Support Pilotage et Comptabilité, tu te positionnes comme un expert métier et plateforme. Tu es l'interlocuteur privilégié de notre base client qui a choisi Pennylane comme logiciel central de leur gestion comptable et financière. Tu te trouves donc au cœur de l'expérience client 360 et fais profiter les clients et leurs comptables de la pleine puissance de Pennylane au service de leur croissance. Comment vas-tu contribuer au projet ? En tant que membre de l'équipe Support applicatif et technique, tu es le point de relais central entre nos clients Dirigeants, leurs Comptables internalisés et les Cabinets Comptable. Tu es en contact quotidien avec les utilisateurs et cherche à comprendre les problèmes qu'ils rencontrent. Après investigation, ton but est d'apporter une réponse ou solution à ton interlocuteur, ou quand cela est nécessaire, d'escalader le problème aux équipes techniques. Tu as aussi la charge d'aider les comptables d'entreprises et cabinet à intégrer leurs données sur Pennylane afin de faciliter leur migration. Quelles seront tes missions au quotidien ? 3 premiers mois : - Tu te formes en continu sur le produit et les rouages de l'équipe. - Tu apprends tout ce qu'il faut savoir sur notre entreprise, notre vision, et nos différents départements. - Tu apprends à identifier toutes les parties prenantes et à collaborer efficacement au sein de ton équipe, ainsi qu'avec les différents départements. - Tu commences à répondre à des demandes liées à la comptabilité : tu réceptionnes les demandes, les qualifies en t'appuyant sur une compréhension approfondie des principes comptables et apportes des réponses rapides et impactantes. 4 à 6 mois : - Tu gagnes en autonomie et prends intégralement les commandes en assurant un bon suivi des demandes jusqu'à la résolution complète des tickets pour garantir la satisfaction des utilisateurs.- Tu commences à gérer des demandes clients de plus en plus complexe.- Tu contribues à la création et à l'actualisation des supports d'aide à disposition du client afin de développer leur autonomie.- Tu partages à tes collègues tes connaissances comptables et ton expérience "terrain".- Tu portes la voix comme l'usage du client et tu partages aux équipes produit des retours construits. Et ensuite... : - Tu deviens un expert produit et fais gagner en efficacité ton équipe en identifiant les axes d'amélioration.- Tu prends le contrôle et mène au succès des projets qui te tiennent à cœur et qui te font progresser. Dans le futur, tu auras des possibilités d'évoluer vers la résolution de questions plus pointues dans l'équipe Support mais aussi vers d'autres équipes telles que les gestionnaires de comptes ou les responsables de la mise en œuvre pour nos clients. Compétences requises - De formation comptable (BTS CGO, DCG, BTS assistant de gestion PME-PMI, Master CCA ou Bachelor Responsable admin et comptable). - Expérience d'au moins 3 ans en cabinet comptable (idéalement avoir fait au moins trois périodes fiscales). - Un travail en direct avec le dirigeant est un plus (conseil interne par exemple). - Appétence pour les outils de travail innovants et les nouvelles technologies. - Autonomie, capacité à résoudre des problèmes seul.e et à trouver des solutions. - Une connaissance de l'outil Pennylane est un plus. - Avoir un niveau professionnel en anglais. - Aisance rédactionnelle et pédagogue pour interagir avec les utilisateurs de manière claire et professionnelle. - Capacité à comprendre et à répondre aux besoins des clients, à offrir un excellent service et à maintenir de bonnes relations avec les clients. - Aptitude à travailler de manière autonome et en équipe. - Flexibilité pour s'adapter aux évolutions rapides de l'outil. - Volonté d'apprendre et de rester à jour sur les évolutions du produit. 🤝 Process de recrutement ● Une première rencontre avec notre Talent Acquisition Manager (30 min) ● Un second entretien et un case study en direct avec un(e) Associate Team Lead (1h) ● Un entretien final avec un(e) Team Lead (45 min) 🎁 Ce que l'on peut t'offrir : 🏥 Une mutuelle parmi les meilleures sur le marché (Alan Blue et Alan Mind) 🍜 Des tickets restaurants (Carte Swile) 🏝 Entre 6 et 12 jours de RTT supplémentaires aux 5 semaines de congés payés 🇬🇧 La possibilité de perfectionner ton anglais grâce à Busuu 🧑‍💻 Un budget dédié chaque mois pour tous nos Pennylaners, favorisant le travail depuis la maison ou en espace de coworking 🏢 Une facilité d'accès à nos bureaux, situés à quelques minutes de Saint Lazare en plein cœur de Paris 💵 Une enveloppe de BSPCE 🏃‍♀️ Un accès à 8000 salles de sport partout en France et plus de 300 activités de bien-être via notre partenaire Gymlib 💻 Un Mac 🎉 Nous pratiquons de nombreux sports ensemble et avons à cœur de nous réunir régulièrement autour d'événements d'entreprise tels que les Tech Days (qui permettent aux Pennylaners en remote de se réunir tous les 3 mois) ou notre séminaire d'entreprise qui a lieu une fois par an, et qui favorise de grands moments de cohésion pour toutes et tous. Pour t'épanouir chez Pennylane, il faudra: -Parler anglais (le niveau est évalué et apprécié en fonction du département auquel tu postules) -Apprécier travailler dans un environnement en changement constant -Faire de la collaboration une priorité au sein de son équipe ou avec d'autres parties prenantes -Avoir un recul suffisant pour prioriser les actions à fort impact business dans son activité quotidienne. Nous savons que certaines personnes sont moins susceptibles de postuler que d'autres si elles estiment ne pas remplir l'intégralité des critères. Si tu hésites, nous t'encourageons à postuler quand même : qui sait, cela pourrait être le début d'une collaboration significative et durable ! Information importante à destination des candidat(e)s Les tentatives d'arnaque au recrutement sont en hausse. Nous vous invitons à rester vigilant(e) lors de vos échanges. Candidature uniquement via nos canaux officiels : postulez exclusivement via nos offres publiées sur nos supports officiels (site carrière, pages officielles partenaires). Vérifiez systématiquement l'adresse e-mail de l'expéditeur : nos communications sont envoyées depuis des adresses professionnelles avec les domaine @ pennylane.com ou ----- . Nous ne vous demanderons jamais de paiement, ni d'informations financières (coordonnées bancaires, paiement pour un entretien, achat de matériel, etc.) dans le cadre du recrutement. Si une telle demande vous est faite, il s'agit d'une fraude. Nous vous invitons à ne pas répondre et à nous le signaler immédiatement ." Encourageant la diversité, équité et inclusion sous toutes ses formes, Pennylane offre un environnement de travail inclusif, bienveillant et propice à l'épanouissement, dans nos bureaux et en remote. Nous nous engageons à fournir les mêmes chances à tous nos candidats, indépendamment de leurs origines sociales et ethniques, genres, religions, orientations sexuelles ou handicaps. 🇫🇷 Données personnelles Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n'aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : Notre data policy 🇬🇧 Personal Data Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to Learn more 🇩🇪 Personenbezogene Daten Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an Mehr erfahren 🇪🇸 Datos personales Pennylane trata sus datos para gestionar su candidatura y evaluar su idoneidad para el puesto. En caso de que su candidatura no sea seleccionada, sus datos podrán conservarse hasta 2 años a partir de nuestro último contacto o de la finalización del proceso de selección, con el fin de constituir y gestionar una reserva de candidatos. Puede oponerse en cualquier momento y solicitar la eliminación de sus datos escribiendo a Más información Find Jobs in France on Arbeitnow

Company description Are you looking for a fun and exciting environment, flexible work schedule, or an opportunity for growth? Blending all of these together is the difference between a good job and a great career. At Applebee's® you will discover a balance between work life and personal life. We believe in our mission to make everyone?s day better by providing a personalized, fun, friendly and carefree dining experience. Job description We are looking for line cooks to prepare food to Applebee's specifications and maintain stocked and clean workstations. Line Cook duties will consist of assisting the Kitchen Manager with their daily tasks. The successful candidate will play a key role in contributing to our customer satisfaction and acquisition goals. Responsibilities Knowledgeable in safe handling practices when using sharp knives, utensils, Prepare food for service in cooperation with the rest of the kitchen staff Complete a line check for their workstation Ability to work well under pressure in a high-volume restaurant Demonstrated ability to multi-task in a fast-paced environment Answer, report and follow Kitchen Managers instructions Clean up station and take care of leftover food Ensure that food comes out in a timely fashion which meets company standards Comply with nutrition and sanitation regulations and safety standards, completing daily and weekly cleaning duties Previous experience cooking breakfast is an asset Requirements Minimum 1-year previous experience as a line cook or in a similar role Comprehensive understanding of various cooking methods, ingredients, equipment, and procedures Needs to be flexible to work day and night shifts during weekdays, weekends and holidays. Accuracy and speed in executing assigned tasks Food Safe, SafeCheck, Food Handler or equivalent is required Must be able to communicate effectively in English; verbal and written Must be able to stand and walk for extended periods of time Must be able to carry, lift, push and pull up to 34kg. This job posting is not exclusive or an exhaustive list of all job functions that a Line Cook will be asked to perform from time to time. This list is only a sample; a Line Cook may be required to perform other duties. Hennepin Fallsview Inc. is an Equal Opportunity Employer. In accordance with the Accessibility for Ontarians with Disabilities Act, 2005 and the Ontario Human Rights Code. Hennepin Fallsview Inc. will provide accommodations to applicants with disabilities throughout the recruitment, selection and/or assessment process. If selected to participate in the recruitment, selection and/or assessment process, please inform Human Resources staff of the nature of any accommodation(s) that you may require. Please note that this job posting reflects a currently vacant position for which we are actively recruiting. As part of our commitment to a fair, consistent, and efficient hiring process, AI-assisted technologies may be used to manage applications during certain phases of resume screening. Job Type: Part-time Pay: $17.95-$18.50 per hour Benefits: Company events On-site parking Ability to commute/relocate: Niagara Falls, ON L2G 3W2: reliably commute or plan to relocate before starting work (required) Experience: Cooking: 1 year (required) Licence/Certification: * Food Safe Handler, SafeCheck, or equivalent certificate (preferred) Work Location: In person

📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that's long favoured legacy operators, intermediaries, and opaque pricing. Today's electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We've built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We're scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we're not just building another energy company, we're rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. 🚀 The Role We're hiring a People Operations Partner to join our Performance team. tem is rebuilding the energy transaction - transparent, fair and built on trust. Behind that mission is a company growing fast, and a Performance team that's already lean and stretched. Core People operations needs more firepower as we scale, and there's a direct commercial angle too: a strong People Operations function is what lets new joiners ramp up and become productive faster once they arrive. This is a multi-disciplinary People Operations role at the centre of the employee lifecycle - equal parts operational delivery, automation and continuous improvement. You'll be the reliable hands keeping People processes running as we scale, from multi-country payroll to onboarding, employee changes and offboarding. You'll also build the tools, automations and lightweight AI workflows that connect our systems (Rippling, Notion, Linear, Slack, Ashby, n8n and Google Workspace), so the function doesn't need to double in size every time headcount does. In your first 12 months, you might: Take ownership of payroll across our UK and employer-of-record employees, keeping every cycle accurate and on time as pay schedules and countries multiply. Become the trusted point of contact for employees and managers, owning their queries through to resolution. Build the automations and AI-enabled workflows that remove repetitive manual work from the employee lifecycle. Turn recurring pain points into better processes, tools or self-service, and measure whether they actually worked. Move across People disciplines as priorities shift - reward and benchmarking, pensions and options administration, performance cycles, engagement and people data. 🛠️ Responsibilities Run payroll end to end: own monthly payroll across UK and employer-of-record employees - changes, corrections, off-cycle and ex-gratia payments, contractor payroll and invoicing, and country-specific items - keeping it accurate and on time as we add pay schedules and countries. Keep the lifecycle running: deliver core People operations across onboarding, employee changes, contracts and documentation, leave, mobility (visas and international moves), EOR and contractor setup, and offboarding, flexing into whatever the business needs most. Be the trusted point of contact: own employee and manager queries through to resolution with a clear response standard, rather than passing them between functions. Keep the foundations accurate: maintain employee data, documentation and systems so that everything else can depend on them. Automate the repeatable: build and maintain automations and lightweight AI-enabled tools, workflows and agents that connect Rippling, Notion, Linear, Slack, Ashby, n8n, Google Workspace and similar, and remove repetitive manual work - with controls so speed never costs accuracy, privacy or employee trust. Own the People tech stack: evolve our People technology ecosystem - evaluate emerging tools, consolidate where we can, and simplify the architecture. Improve continuously: turn recurring employee and manager pain points into better processes, tools, guidance or self-service, measure whether they worked, and give foundational People processes a named owner and a runbook someone else could follow cold. Design to delight and to scale: we treat our people like top athletes and aim to delight at every step of the employee journey, and what works at today's size shouldn't need twice the People team when headcount doubles - default to eliminating or automating work rather than administering it. Partner across the business: work with Finance, Legal, Talent, Performance Partners and functional specialists to turn People initiatives into scalable services, and build dashboards and lightweight analysis that help the team and the business make better decisions. ✅ Requirements Must-Haves You've worked in People Operations, People Services, HR Operations or another operational People role - generalists welcome - and you hold a high bar on accuracy and confidentiality. You've run payroll cycles end to end, ideally multi-country, in-house or through an employer of record. UK fundamentals (PAYE, RTI, pension auto-enrolment, statutory payments) are familiar, or clearly learnable fast if your payroll experience comes from another market. You're highly comfortable with technology: AI is part of how you work, you actively experiment with new tools and capabilities, and you can build automations through no-code or low-code tools, integrations and AI workflows. You think in systems and workflows rather than individual tasks, with a strong instinct for simplification ("why are we doing this manually?"), and you're comfortable using data to diagnose problems and make decisions. You operate effectively in ambiguity, without waiting for a perfectly defined process or remit, and you balance efficiency with empathy - People Operations is about people, not just workflows. Strong ownership instincts: when something's broken, unclear or inefficient, your instinct is to fix it, and you're willing to move across People disciplines depending on where the organisation needs you. Desirable Breadth across the People remit beyond Operations - reward and benchmarking, pensions, benefits, or performance and engagement. This role is deliberately multi-disciplinary. Familiarity with the basics of UK and EU employment law, and experience administering equity or share options (for example EMI or unapproved schemes, and cap-table tools such as Vestd). Experience supporting international employment through employers of record, and setting up or managing contractors (including off-payroll and IR35 awareness). Experience in a fast-scaling startup or scale-up, especially through a period of doubling headcount or entering new countries. 🎁 Benefits & Perks Stock options so everyone has ownership in our mission. 25 days holiday plus public holidays. Swap public holidays for the ones that matter most to you, and enjoy your birthday off. Remote first and flexible working, with clear core hours and no internal meetings on Friday afternoons. Up to GBP1,200 or EUR1,400 per year for your remote setup. Up to GBP150 or EUR170 per month for wellbeing. 🤝 Interview Process We move fast. Most processes take 2 to 3 weeks from first chat to offer. If you need us to adapt anything, let us know. Intro call with our Talent team. Hiring Manager interview. Skills interview, which might include a practical exercise. Bar Raiser interview with leadership stakeholders. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for. 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Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions About the role We're looking for a Senior People Business Partner in EMEA, supporting employees across Germany, Sweden, England, and other emerging geographies. You'll partner directly with country leaders at a company where the region is growing quickly, decisions are made in days, and priorities shift. You'll lead through influence, building trust with leaders in the region and with the People team at HQ in Sunnyvale, California. You are the senior People leader for the region, and the People function for EMEA runs through you. You'll own end-to-end People programs in every area starting at onboarding, and you'll be ready to direct stakeholders across the entire employee lifecycle, from onboarding through exit: regional leaders, managers, HQ People Operations, Payroll, Legal, Total Rewards, and local advisors and vendors. You set the priorities, assign the owners, and drive each issue to resolution. We expect our PBPs to lead with high agency, and this role carries that expectation further than any other. You'll set the regional People agenda, make the calls, and drive outcomes the way a regional Chief People Officer would, with specialist partners at HQ to pull in when you need them. Location: Munich, Germany Reports to: Chief People Officer At Applied Intuition, you will: Be the senior People leader and business strategist for EMEA. Understand where the regional business is going and bring leaders a clear point of view, with the tradeoffs of each option laid out. Translate business goals into talent decisions: org design, workforce planning, leveling, and succession. Use data to spot attrition risk, capability gaps, and structural problems before the business feels them, and treat your leaders as customers whose success is your measure. Lead end-to-end People programs for the region. Own the employee experience across the region: onboarding, payroll and benefits coordination, leave, compensation, performance, engagement, and employee relations, working within local employment requirements. Be scrappy when the moment calls for it: where infrastructure doesn't exist yet, build a working version yourself and refine it as you go. Direct stakeholders across the employee lifecycle. Take the lead with HQ People Operations, Payroll, Legal, Total Rewards, and local advisors and vendors. Set priorities by risk, impact, and reversibility, assign owners and deadlines, and stay on each issue until the employee or manager has a complete answer. Build self-service resources, manager guides, and clear escalation paths so the regional People function doesn't depend on any one person. Connect Sunnyvale and EMEA. Make sure regional perspectives are part of global decisions early, and make global programs work locally. Know what has to stay consistent worldwide and what should flex by country, and bring HQ recommendations with the tradeoffs laid out, not just concerns. Treat each country in the region as its own environment, not as one market. Lead the region through growth and change. Support expansion into new countries and entities, reorganizations, and leadership transitions with a clear plan, narrative, and follow-through with managers and teams. Increase talent density. Lead calibration, promotion, and talent review for the region. Identify and develop top talent, coach managers to raise the bar on their teams, and handle performance and employee relations issues with judgment, discretion, and dignity. Move fast and move safe. We are looking for someone who has: 8+ years of HR experience, with at least 3 years partnering directly with senior leaders, preferably in a high-tech environment, and experience as the sole or lead People leader for a region or country. Breadth across the full HR function: employee relations, compensation, payroll and leave administration, performance management, org design, and engagement. You move comfortably from an individual employee's pay issue to a reorganization conversation with an executive on the same day. Working knowledge of employment practices and requirements in Germany, Sweden, and England and the judgment to know when a question needs local counsel or another specialist before you act. Strong business acumen. You understand how the business makes money, where the constraints are, and how talent decisions affect outcomes, and you can speak that language with executives. Leadership and high agency. You've been the senior People leader for a region or business with minimal direction, directed partners across payroll, legal, benefits, and vendors without formal authority, and made decisions with incomplete information. Strong judgment. You know when to move fast, when to slow down an irreversible decision, and when to bring in partners, and leaders trust your read on sensitive, ambiguous situations. A record of influencing in both directions. You've advocated for a region with headquarters and challenged regional leaders when needed, and you can tell the difference between a legal requirement, a business need, and a preference. A record of leading change, not just supporting it, including implementing global programs locally and guiding teams through growth or reorganization. Fluency with data and clear, concise, direct communication, and the discipline to prioritize ruthlessly when everything feels urgent. Business-level fluency in the local language is a plus. Comfort working across time zones with a People team based in California. Nice to have: Experience supporting engineering, research, or other highly technical organizations. Experience supporting a region through entity setup or expansion into new countries, including work with an employer of record or PEO. Experience building People programs from scratch in a high-growth company. Benefits: 30 days of paid vacation per year Daily meal benefits: €19 lunch budget and €19 dinner budget, free breakfast, snacks, and drinks in the office You'll receive €965 annual learning & development and €580 annual fitness budget Subsidized Wellpass membership, giving you access to thousands of gyms, studios, and wellness facilities across Germany €25 monthly contribution to your Deutschlandticket for regional public transport across Germany Generous parental leave: on top of statutory parental leave Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. 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About us: Behind every innovative new medical device, new healthcare policy, and research into new treatments, there?s a literature review. At DistillerSR Inc., we?re changing the way that scientific research is conducted. Founded in 2008, DistillerSR is the world?s leading AI-enabled workflow automation and evidence management platform for streamlining the production of critical literature-based health research. DistillerSR is used by 80% of the top 10 global medical device and pharmaceutical companies to inform life-changing product research, prepare regulatory submissions and to monitor for safety issues with medical products once in market. At DistillerSR, we have three core values: Always Leading, Always Innovating, and Always Trusted. Our amazing team lives these values every day and our customers trust us to bring them innovative, world-leading solutions that power their important work. Scope of the Role: The Customer Success Manager drives customer engagement and retention. CSMs advise and guide our customers as they map their business needs to the capabilities of DistillerSR, with the goal of ensuring customers adopt the DistillerSR platform deeply and derive the best value from their DistillerSR subscriptions and services. CSMs collaborate cross-functionally with other DistillerSR departments to identify opportunities and risk, and to develop recommendations and solutions. Duties & Responsibilities: Relationships & Engagement Build and maintain strong relationships with customers to drive long-term customer success and value. Engage with customers regularly, promoting and measuring customers? engagement with the platform as a lever to account retention. Conduct regular ROI meetings with customers to assess value delivered and identify areas for improvement. Align actions and decisions with DistillerSR?s core organizational values to foster a culture of customer excellence. Consultation Promote customer satisfaction through application of product knowledge and technical expertise. Recommend best-practice uses of DistillerSR based on understanding of the customer?s business, use cases, success criteria for getting value, and data. Collect key business and user insights, developing strategic plans and a long-term vision for customer accounts. Participate in client requirements-gathering workshops, documenting feedback. Advocate with DSR internal stakeholders for customer needs in product evolution. Adoption, Retention, and Expansion Facilitate the onboarding of new customers, supporting customer change management initiatives to adopt DistillerSR. Monitor customer usage data and act upon it to resolve product use inefficiencies. Identify opportunities to increase product usage. Proactively identify at-risk customers. Develop and implement retention plans, maintaining internal visibility through regular updates. Supplement the first line of support when necessary, helping customers resolve issues. Identify customer expansion opportunities for action by the broader account team, specifically including the Account Executive. Support Sales activities such as conducting product demonstrations, participating in client discussions, and RFP processes. Continuous Improvement Participate in continuous improvement initiatives as required and assist with drafting service-related policies, procedures, and work instructions. Key Contacts Frequent interaction with assigned customers and target clients, including leadership and individual contributors, with both business and technical roles. Collaborates closely with all members of Customer Success, Sales, Global Support, Professional Services, Marketing, and P

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description: Essential Responsibilities: Lead the development and optimization of advanced machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Minimum Qualifications: 5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Additional Responsibilities & Preferred Qualifications: Subsidiary: PayPal Travel Percent: 0 The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location : Pay Range: San Jose, California: ($196,500.00 - $291,500.00 Annually) Additional Location(s) : Pay Range: No other locations are assigned to this requisition currently. Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health. Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com. Machine Learning Engineer We're looking for a Machine Learning Engineer to join our ML team at EvenUp. You'll develop and deploy models that power Piai™, our proprietary claims-intelligence platform, with a focus on machine learning, natural-language processing, and generative AI. Working alongside senior ML engineers, data scientists, and legal subject-matter experts, you'll turn raw legal and medical data into production-ready models that directly improve outcomes for personal-injury clients. What You'll Do Explore, implement, and benchmark ML, NLP, and generative AI methods - including LLM fine-tuning, retrieval-augmented generation, and document understanding. Clean, annotate, and transform structured and unstructured case data, and build reusable datasets and data loaders. Design experiments, run A/B tests, analyze results, and communicate findings to product and engineering teams. Help integrate models into our production systems, partnering with ML platform engineers on testing, monitoring, and scaling. Pair with product managers, legal analysts, and software engineers to translate real problems into ML solutions and measurable improvements. Stay current with research in LLMs, representation learning, and prompt engineering, and share what you learn with the team. What You Bring B.S., M.S., or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a related field. Solid grounding in ML fundamentals - supervised and unsupervised learning, evaluation metrics, overfitting and regularization. Hands-on experience with NLP or generative AI techniques - transformers, embeddings, sequence-to-sequence models, or LLMs. Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, or spaCy. Familiarity with SQL and basic data engineering concepts - ETL, versioned datasets, notebooks. Strong analytical thinking, clear communication, and eagerness to learn and iterate quickly in a fast-moving startup. Ability to work hybrid (3 days your choice) in our San Francisco or Toronto, Canada office. Nice to Have Exposure to cloud platforms (AWS, GCP). Experience with experiment-tracking tools (Weights & Biases, Gemini Enterprise Agent Platform, MLflow). Familiarity with containerized deployment (Docker, Kubernetes). Experience in a high-growth startup environment. Benefits & Perks: As part of our total rewards package, we offer attractive benefits and perks to our employees, including: Choice of medical, dental, and vision insurance plans for you and your family. Additional insurance coverage options for life, accident, or critical illness. Flexible paid time off, sick leave, short-term and long-term disability. 10 US observed holidays, and Canadian statutory holidays by province. A home office stipend. 401(k) for US-based employees and RRSP for Canada-based employees. Paid parental leave. A local in-person meet-up program. Hubs in San Francisco and Toronto. (Please note the above benefits & perks are for full-time employees) Notice to Candidates: To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page . Please note that EvenUp may use AI notetakers and other recording devices in the recruiting process. If you interview with us, with your consent, we may record your conversations and summarize them into notes for internal use. Recording is optional, and declining will not affect your candidacy. EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation Range: $130K - $205K

Join the Dealer Tech division within Capital One's Financial Services Technology group, where we develop and support cutting edge technological solutions that streamline the auto financing process for dealers. Our team focuses on creating integrated, secure, and user friendly platforms that enhance dealer operations and customer experiences, ensuring compliance with the latest financial regulations. This pivotal role supports business growth and fosters strong dealer relationships, making every transaction smoother and more efficient. Dealer Tech within Financial Services Technology at Capital One is specifically designed to address the technological needs of auto dealers who partner with Capital One. This division focuses on developing and maintaining systems that facilitate the smooth operation of auto financing, from loan origination to funding. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of experience programming with Python, Java, Golang, or C++ At least 2 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 3 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 1 year of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 1+ years of experience optimizing ML algorithms, configurations, and infrastructure 1+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 1+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 1+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) Authored/co-authored a paper on a ML technique, model, or proof of concept 1+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Machine Learning Engineer 3 New York, NY: $176,500 - $201,400 for Machine Learning Engineer 3 Plano, TX: $147,100 - $167,900 for Machine Learning Engineer 3 Richmond, VA: $147,100 - $167,900 for Machine Learning Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Analytics Engineer About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can't get to a doctor's office. For many, the ER becomes their first touchpoint with the healthcare system, driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we've supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators has raised over $125M from investors like a16z, General Catalyst, GV, and Accel and enjoys multi-year runway. About The Role We're looking for an Analytics Engineer to build the trusted data layer that analysts, data scientists, operations, finance, product, and our payer customers depend on. At Sprinter, data is central to how we operate, measure performance, serve patients, and support our health plan partners. This role will own the canonical models, metric definitions, transformation logic, documentation, and tests that make our data reliable and reusable across the company. You'll help define what each table, field, and metric means, then build the infrastructure that ensures those definitions are consistently applied. That includes modeling data in dbt or equivalent tooling, creating reporting-ready tables, improving lineage and documentation, reconciling metrics across teams, and helping prevent the kind of data drift and metric chaos that slows companies down as they scale. This role is ideal for someone who treats metric definitions as product artifacts, thinks in contracts and tests, and cares deeply about making data trustworthy for both internal users and external customers. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We operate on a hybrid schedule, working from the office Monday through Thursday, with Fridays designated as work-from-anywhere days. We care deeply about work-life balance and are happy to provide flexibility when life happens. We ask that employees be in the office Monday through Thursday to collaborate with their teams while maintaining flexibility where it matters most. Lunch is provided every day, and the entire team takes an hour to eat together. It's one of the ways we stay connected outside of meetings. You'll usually find us playing a board game before getting back to work. What you will do Build canonical data models that create a shared source of truth across the company Define and maintain core business, operational, financial, product, and customer-facing metrics Model data in dbt or equivalent transformation tooling so dashboards, self-serve analytics, and customer reports pull from trusted tables Write tests, documentation, and data quality checks that catch issues before they reach users Create clear definitions for tables, fields, and metrics so teams understand what the data means and when to use it Reconcile metric definitions across internal teams, external reporting needs, and payer customer expectations Trace data lineage and debug dashboards, reports, or tables that change unexpectedly Partner with analysts, data scientists, operations, finance, product, engineering, and customer-facing teams to understand data needs and translate them into reliable models Help build reusable reporting frameworks that make onboarding new payers faster and less manual Partner with the data platform team to evolve warehouse tables, improve data architecture, and strengthen data contracts Improve warehouse cost, performance, and maintainability Support PHI-aware data access patterns and help ensure sensitive healthcare data is modeled and used responsibly What you have done Built analytics engineering, business intelligence, or data modeling systems in a production cloud warehouse environment Written expert-level SQL and designed data models that support reporting, analysis, and decision-making Worked with dbt or an equivalent transformation framework Built tested, documented, reusable data models rather than one-off queries Defined, maintained, or reconciled business-critical metrics across teams Partnered with analysts, data scientists, operators, finance teams, product teams, or customer-facing stakeholders Debugged data quality issues, dashboard changes, metric discrepancies, and lineage problems Worked with cloud data warehouses such as BigQuery, Snowflake, Redshift, Databricks SQL, or similar Balanced speed, correctness, usability, and maintainability when building data assets Communicated clearly with technical and non-technical stakeholders about what data means and how it should be used What gives you an edge You have experience with healthcare data, claims data, EHR data, payer data, provider data, or other complex healthcare datasets You've worked with PHI, HIPAA-aware data access patterns, or other sensitive regulated data You have experience building customer-facing reporting, embedded analytics, or multi-tenant data models You've worked with row-level security, access controls, or governed self-serve analytics You have experience using Python for analysis, scripting, data validation, or automation You've helped establish a semantic layer, metrics layer, or company-wide source of truth You've built data models in a high-growth startup or operationally complex environment You have experience improving warehouse performance, cost, and query efficiency What makes you successful You treat a metric definition as a product artifact, not a Slack thread You make data trustworthy, reusable, and easy to understand You prevent metric chaos by building clear definitions, tests, and documentation You build so that a fix in one place does not require five copy-paste edits elsewhere You understand that internal users and external customers both need data they can trust You care about the usability of the data model, not just whether the pipeline runs You can explain data discrepancies clearly and drive teams toward shared definitions You build foundations that help the company move faster with more confidence Day to Day In This Role, You Might Spend Your Time Building or refactoring dbt models Adding tests to core tables Defining canonical fields and documenting how they should be used Reviewing metric definitions and reconciling them across teams Debugging a dashboard, report, or customer-facing metric that changed unexpectedly Tracing lineage from source systems through warehouse models to downstream reports Partnering with analysts, operators, finance, product, or customer-facing teams on reporting needs Improving warehouse performance, cost, and maintainability Designing reusable reporting structures that make new payer launches easier The Interview Process We aim to complete the interview process within 2–3 weeks. It will usually consist of: Recruiter Screen: Background fit, motivation, and compensation alignment Hiring Manager Interview: Analytics engineering experience, data modeling depth, and stakeholder partnership Hands-on Technical Assessment: SQL, data modeling, metric design, and practical analytics engineering judgment Onsite Interview: Technical case study, systems/data modeling discussion, behavioral interview, and lunch with the team References: Validation of performance, judgment, and working style What we offer Meaningful pre-IPO equity Medical, dental, and vision plans 100% paid for you and your dependents Flexible PTO + 10 paid holidays per year 401(k) with match 16-week parental leave policy for birthing parent, 8 weeks for all other parents HSA + FSA contributions Life insurance, plus short and long-term disability coverage Free daily lunch in-office Annual learning stipend Relocation assistance Equal Opportunity Statement Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected classes. Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles on our official Sprinter Health Careers website. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you're only replying to emails that end with @sprinterhealth.com.

Job Requisition ID # 26WD101381 Position Overview Autodesk's worldwide sales organization depends on its forecast, pipeline, targets and reporting. This role builds the data models behind them. As an Analytics Engineer on the Forecasting & Revenue Intelligence team, you turn sales, subscription and hierarchy data into tested, documented models that analysts and sales leaders can trust, covering what customers bought, who owns which accounts and how the sales organization looked on any given date. You will work in SQL and dbt on Snowflake, and you will work closely with the people who use your models. This is a hands-on role on a new team, and you will own what you ship. Location: United States (remote). Central or Eastern time zone preferred. Organization: Revenue Operations Responsibilities Build and maintain dbt models on Snowflake that bring Salesforce, subscription, billing, hierarchy and forecast data into a clean, documented form Model data for analysis: a clear grain, stable keys, and definitions consistent with the shared metric dictionary Keep history so any published number can be reproduced as it stood on the day it went out Maintain the mapping between accounts, territories, sellers and the sales hierarchy as the organization changes Reconcile the data to Salesforce and to Finance, and find the cause when they disagree Build the datasets behind the weekly forecast pack, business reviews and leadership dashboards Add tests and monitoring for freshness, completeness and accuracy, and fix what breaks Explain data issues and trade-offs to sales and finance partners in plain terms, and agree on a fix with them Work in version control with code review and continuous integration Minimum Qualifications Bachelor's degree in a technical or quantitative field, or equivalent practical experience 3+ years in analytics engineering, data engineering or BI development, building models other people depended on Dbt in production, with tests and documentation as part of how you work Strong SQL, including window functions and incremental models, in a cloud data warehouse such as Snowflake Working knowledge of the Salesforce data model: accounts, opportunities, line items and ownership Ability to explain a data problem to a non-technical stakeholder and reach a decision together Preferred Qualifications Dbt snapshots or slowly changing dimensions for point-in-time reporting Python for transformation or orchestration, with Airflow or similar Enterprise software or SaaS commercial data: subscriptions, renewals, territories, and direct and partner routes to market Revenue intelligence platforms such as Clari, Gong or Aviso, and BI tools such as Power BI, Tableau or Sigma Experience as an early hire on a new data team Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/ Salary transparency Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $103,000 and $185,130. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging In-Person Onboarding and Identity Verification This role may require in-person onboarding and/or in-person ID verification.